During the operation of hydropower unit,the bearing temperature will change with the operating conditions of the unit,which is one of the important data in the unit condition monitoring system.However,there are many parameters affecting the bearing temperature,such as ambient temperature,cooling performance of cooler,and unit load.Its industrial mechanism model is very complex and its prediction is extremely difficult.In order to timely and accurately grasp the operating status of the unit,it is necessary to predict the bearing temperature.This paper selects the actual operation and early fault prediction of a hydropower unit,and predicts the bearing temperature of the hydropower unit based on the transformer model.This research can be applied to trend analysis,condition evaluation and early fault prediction of hydropower units,so as to avoid bearing burnout accidents and provide data support for safe and stable operation of hydropower units.
维普
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